Link to Folder with Everything
https://drive.google.com/drive/folders/1B03sYWK8jJnjetFjCdVFy889b_MOmAp5
Recording of Video
[https://drive.google.com/file/d/1fNGt49y6tFiOj0qZGGi4DcPsvKyvV93u/view?usp=sharing](https://drive.google.com/file/d/1fNGt49y6tFiOj0qZGGi4DcPsvKyvV93u/view?usp=sharing)
Summary ( by Gemini )
Key Discussion Points:
- Web Scraping Tools: Explored tools like Octop AI and Scraping B for non-technical users to gather data from the internet. Discussed integrating these tools with platforms like Make and Zapier.
- API and Build Ship: Discussed the concept of APIs (Application Programming Interfaces) and how they enable computer communication. Introduced Build Ship as a no-code, open-source tool for creating APIs and managing databases.
- Database Creation in Build Ship: Demonstrated the creation of a simple database in Build Ship with fields for company name, URL, and status.
- Website Crawling and Data Extraction: Attempted to crawl websites using Build Ship and extract data using OpenAI. Encountered challenges with content size and API integration.
- Text Processing and AI Integration: Discussed techniques for text processing, such as chunking and trimming, to handle large amounts of data for AI processing.
- OpenAI Assistants: Introduced the concept of OpenAI Assistants, which provide memory and context for ongoing conversations, and how they differ from basic chat interactions.
- Creating an OpenAI Assistant: Demonstrated the process of creating an OpenAI Assistant for product requirements document (PRD) generation, including setting system instructions and capabilities.
- Challenges and Troubleshooting: Faced technical difficulties with Build Ship and OpenAI API integration, including incorrect API keys and account issues.
- Future Plans: Rahul Singh will create a demo recording of the OpenAI Assistant functionality and share it with the participants.
Key Takeaways:
- Various no-code tools are available for web scraping and API creation, but they may require some technical understanding.
- OpenAI Assistants can be powerful tools for creating AI-powered applications with memory and context.
- Text processing is crucial when working with large amounts of data for AI applications.
- API integration and account management can be complex and require careful attention to detail.